Acne is the 8th most common disease around the world. To aid in detection and classification of acne vulgaris, doctors have been using images taken by the patients using a smartphone or a portable camera. In this episode, we will talk about how artificial intelligence (AI) can be applied in dermatology, detecting and monitoring skin lesions through convolutional neural networks.

REFERENCES

1. Hao W, Wenjian Y, Yuanqing W, Jun Z, Xiaolong L, Zhexiang K, et al. Acne Detection and Severity Evaluation with Interpretable Convolutional Neural Network Models. Technol Health Care. [Internet]. 2022. (Accessed on June 7, 2022);30:S143-S153. Available at: https://doi.org/10.1371/journal.pone.0253421
2. Razˇnatović Đurović M, Janković J, Đurović M, Spirić J, Janković S. Adolescents’ beliefs and perceptions of acne vulgaris: A cross-sectional study in Montenegrin schoolchildren. PLoS ONE. [Internet]. 2022. (Accessed on June 7, 2022);16(6): e0253421. Available at: https://doi.org/10.1371/journal.pone.0253421
3. Junayed MS, Islam MB, Jeny AA, Sadeghzadeh A, Biswas T, Shah AFMS. ScarNet: Development and Validation of a Novel Deep CNN Model for Acne Scar Classification With a New Dataset. IEEE Access. [Internet]. 2022. (Accessed on June 7, 2022);10:1245-1258. Available at: https://doi.org/10.1109/ACCESS.2021.3138021

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